1. EDSR PAMS 구현 model/edsr.py

  2. quant weight 구현 ./model/quant_ops.py/quant_weight/init() ./model/quant_ops.py/quant_weight/forward()

  3. quant activation 구현 ./model/quant_ops.py/pams_quant_act/init() ./model/quant_ops.py/pams_quant_act/forward()

  4. Qconv 구현 ./model/quant_ops.py/QuantConv2d/forward()

  5. SKT loss 구현 ./utils/common.py/at_loss()

#for test " sh test.sh"

#for train " sh train.sh"

#dataset 위치 ../dataset -/benchmark -Urban100 -DIV2K -/DIV2K_train_LR_bicubic -/test2k -/HR -/LR -/test4k -/HR -/LR

목표 성능 Urban100: 26.02 test2k: 27.59 test4k: 28.99